Control Systems Theory With Engineering Applications

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Control Systems Theory with Engineering Applications

Control Systems Theory with Engineering Applications
Author :
Publisher : Springer Science & Business Media
Total Pages : 425
Release :
ISBN-10 : 9781461201533
ISBN-13 : 1461201535
Rating : 4/5 (535 Downloads)

Book Synopsis Control Systems Theory with Engineering Applications by : Sergey E. Lyshevski

Download or read book Control Systems Theory with Engineering Applications written by Sergey E. Lyshevski and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamics systems (living organisms, electromechanical and industrial systems, chemical and technological processes, market and ecology, and so forth) can be considered and analyzed using information and systems theories. For example, adaptive human behavior can be studied using automatic feedback control. As an illustrative example, the driver controls a car changing the speed and steer ing wheels using incoming information, such as traffic and road conditions. This book focuses on the most important and manageable topics in applied multivariable control with application to a wide class of electromechanical dynamic systems. A large spectrum of systems, familiar to electrical, mechanical, and aerospace stu dents, engineers, and scholars, are thoroughly studied to build the bridge between theory and practice as well as to illustrate the practical application of control theory through illustrative examples. It is the author's goal to write a book that can be used to teach undergraduate and graduate classes in automatic control and nonlin ear control at electrical, mechanical, and aerospace engineering departments. The book is also addressed to engineers and scholars, and the examples considered allow one to implement the theory in a great variety of industrial systems. The main purpose of this book is to help the reader grasp the nature and significance of multivariable control.


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